Abnormality detecting apparatus for imaging apparatus

ABSTRACT

An abnormality detecting apparatus for an imaging apparatus that detects the presence of abnormalities in an imaging apparatus mounted on a vehicle to capture vehicle surroundings which includes: a region setting device that sets a region including at least a road boundary portion in an image obtained by the imaging apparatus; a luminance variance value calculating device that calculates a luminance variance value using the luminance value acquired from the image with respect to the region set by the region setting device; and an abnormality detecting device that detects the presence of abnormalities in the imaging apparatus according to the luminance variance value calculated by the luminance variance value calculating device.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The present invention relates to an abnormality detecting apparatus for an imaging apparatus that detects the presence of abnormal conditions (for example, grime in an optical system, etc.) in the imaging apparatus that can capture, for example, in the visible light region or infrared region.

Priority is claimed on Japanese Patent Application No. 2004-347820, filed Nov. 30, 2004, the content of which is incorporated herein by reference.

2. Description of Related Art

There is conventionally known an apparatus that measures the quantity of reflected light in the light output from the headlights of a vehicle using a photosensor disposed in the proximity of an infrared camera mounted on the vehicle, and, based on the detected quantity of light, detects the presence of grime on the infrared camera (for example, refer to Japanese Unexamined Patent Application, First Publication No. 2001-211449).

In the apparatus according to an example of the aforementioned prior art, in addition to the infrared camera, it is necessary to provide the photosensor as a special apparatus for detecting the presence of grime on the infrared camera. There is therefore the possibility of the constitution of the apparatus becoming complicated and the installation position of the infrared camera being restricted in order to operate the photosensor in the desired state.

SUMMARY OF THE INVENTION

The present invention was made in view of the above-mentioned circumstances, and has as its object providing an abnormality detecting apparatus for an imaging apparatus that can easily detect the presence of abnormal conditions (for example, grime in an optical system, etc.) in an imaging apparatus, while preventing complication of the apparatus constitution.

In order to attain the object that solves the above-mentioned problem, the present invention provides an abnormality detecting apparatus for an imaging apparatus that detects a presence of abnormalities in an imaging apparatus mounted on a vehicle to capture vehicle surroundings, including: a region setting device that sets a region including at least a road boundary portion in an image obtained by the imaging apparatus; a luminance variance value calculating device that calculates a luminance variance value using the luminance value acquired from the image with respect to the region set by the region setting device; and an abnormality detecting device that detects the presence of abnormalities in the imaging apparatus according to the luminance variance value calculated by the luminance variance value calculating device.

According to the aforementioned abnormality detecting apparatus for an imaging apparatus, the road boundary portion on the image obtained by imaging of the imaging apparatus, that is, the region including the boundary between the road that exists in the lower part of the image and the background that exists in the upper part of the image, is set as a region to calculate the luminance variance value. It is therefore possible to improve the detection precision when detecting the presence of abnormalities in the imaging apparatus in accordance with the luminance variance value and reliability of the detection result. That is, when setting a region as a region that contains only the background portion without including the road and boundary portion of the road, regardless of the presence of grime in the imaging apparatus, in accordance with changes in the travel route (for example, changes between a suburban route with relatively few road structures and trees and the like and an urban route with relatively many road structures and trees and the like), the variance state of the luminance value in the region (for example, luminance variance value) fluctuates, causing difficulties in detecting the presence of grime in the imaging apparatus, giving rise to the problem of lower reliability of the detection accuracy and the detection result. Moreover, when setting a region as a region that includes only the road without including the background portion and the boundary portion of the road, changes in the luminance value in the region become exceedingly low, causing difficulties in detecting the presence of grime in the imaging apparatus, and so giving rise to the problem of lower reliability of the detection accuracy and the detection result.

The abnormality detecting apparatus for an imaging apparatus of the present invention may further include a region excluding device that sets an excluded region outside the scope of execution of the process to calculate the luminance variance value by the luminance variance value calculating device in the region set by the region setting device, wherein the luminance variance value calculating device calculates the luminance variance value for the region other than the excluded region set by the region excluding device among the region set by the region setting device.

In this case, by excluding regions determined to be unsuitable when calculating the luminance variance value of the region, detection of the presence of abnormalities of the imaging apparatus in accordance with the luminance variance value can be properly performed. For example, setting as an excluded region a region that may excessively raise the luminance variance value of the region can prevent difficulties in detecting changes in the luminance variance value in accordance with the presence of grime due to the luminance variance value of the region excessively increasing compared to changes in the luminance variance value in proportion to the presence of grime in the imaging apparatus.

Moreover, the region excluding device may set as the excluded region a region in which the luminance value calculated by the luminance value calculating device is not less than a specified luminance value.

In this case, setting as an excluded region a region that may excessively raise the luminance variance value of the region, that is, a region in which the luminance value is not less than the specified luminance value, can prevent difficulties in detecting changes in the luminance variance value in proportion to the presence of grime by the luminance variance value of the region excessively increasing compared to changes in the luminance variance value in proportion to the presence of grime in the imaging apparatus.

The abnormality detecting apparatus for an imaging apparatus of the present invention may further include an object extraction device that extracts an object from the image obtained by the imaging apparatus, and an object type determining device that determines a type of the object extracted by the object extraction device, wherein the region excluding device sets the excluded region based on a determination result of the object type determining device.

In this case, setting as the excluded region a region including the type of object that may cause excessive fluctuation in the luminance variance value of the region can prevent difficulties in detecting changes in the luminance variance value in proportion to the presence of grime by the luminance variance value of the region excessively fluctuating compared to changes in the luminance variance value in proportion to the presence of grime in the imaging apparatus.

The region excluding device may set as the excluded region a region on the image where an object determined to be a type of object with a relatively high luminance exists in the determination result of the object type determining device.

In this case, setting as the excluded region the region that may cause excessive fluctuation in the luminance variance value of the region, that is, the region including the type of object with relatively high luminance such that the luminance value is not less than a predetermined luminance value, can prevent difficulties in detecting changes in the luminance variance value in proportion to the presence of grime by the luminance variance value of the region excessively increasing compared to changes in the luminance variance value in proportion to the presence of grime in the imaging apparatus.

The abnormality detecting apparatus for an imaging apparatus of the present invention may further include a luminance variance average value calculating device that calculates an average value of a plurality of the luminance variance values calculated over a plurality of times by the luminance variance value calculating device, wherein the abnormality detecting apparatus detects the presence of abnormalities in the imaging apparatus in accordance with whether or not the average value calculated by the luminance variance average value calculating device exceeds a predetermined threshold value.

In this case, determining whether or not the average value of the luminance variance values calculated over a plurality of times exceeds a threshold value can improve the detection precision when detecting the presence of grime in the imaging apparatus and the reliability of the detection result regardless of the vehicle circumferential environment, which changes with travel of the vehicle.

The abnormality detecting apparatus for an imaging apparatus of the present invention may further include a vehicle status quantity detection device that detects a status quantity of the vehicle on which the imaging apparatus is mounted, wherein the luminance variance average value calculating device sets the average value based only on the luminance variance value calculated by the luminance variance value calculating device in the state of the status quantity of the vehicle detected by the vehicle status quantity detection device being a prescribed status quantity.

According to the aforementioned abnormality detecting apparatus for an imaging apparatus, setting the average value of the luminance variance values based only on the luminance variance value calculated in the state of the status quantity of the vehicle being a prescribed status quantity can prevent detection of the presence of grime in the imaging apparatus based on an improper luminance variance value caused by the state of the vehicle. For example, by setting a state in which the vehicle speed is not less than a prescribed speed as the prescribed status quantity with regard to the vehicle status quantity, the distance between the vehicle and a preceding vehicle or another object is not less than a predetermined distance, thereby preventing the size of a single object on the image from becoming excessively large, and thereby the share of the luminance variance value according to the single object increasing excessively with respect to the luminance variance value of the region. Also, by setting, for example, the state of the absolute value of the yaw rate to be a prescribed threshold value or less or the state of no brake operation by the driver as the prescribed status quantity for the vehicle status quantity, the average value of the luminance variance value can be a suitable value in a state in which the traveling behavior of the vehicle is relatively stable.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram showing the constitution of the abnormality detecting apparatus for an imaging apparatus according to an embodiment of the present invention.

FIG. 2 is a diagram showing a vehicle equipped with the abnormality detecting apparatus for an imaging apparatus shown in FIG. 1.

FIG. 3 is a lineblock diagram of the image processing unit shown in FIG. 1.

FIG. 4 is diagram showing an example of a determination region set on an infrared image.

FIG. 5 is a diagram showing examples of excluded regions set within the determination region shown in FIG. 4.

FIG. 6 is a diagram showing an example of the change in an infrared image and luminance histogram depending on the presence/absence of grime.

FIG. 7 is a flowchart showing the operation of the abnormality detecting apparatus for an imaging apparatus shown in FIG. 1.

FIG. 8 is a lineblock diagram of the image processing unit according to a modification of the present embodiment.

FIG. 9 is a flowchart showing the operation of the abnormality detecting apparatus for an imaging apparatus according to the modification of the present embodiment.

FIG. 10 is a flowchart showing the operation of the abnormality detecting apparatus for an imaging apparatus according to the modification of the present embodiment.

FIG. 11 is a flowchart showing the operation of the abnormality detecting apparatus for an imaging apparatus according to the modification of the present embodiment.

FIG. 12 is a flowchart showing the operation of the abnormality detecting apparatus for an imaging apparatus according to the modification of the present embodiment.

DETAILED DESCRIPTION OF THE INVENTION

Hereunder, an abnormality detecting apparatus for an imaging apparatus according to one embodiment of the present invention is described with reference to the drawings.

The abnormality detecting apparatus for an imaging apparatus according to the present embodiment, for example as shown in FIG. 1, includes: an image processing unit 1 equipped with a CPU (Central Processing Unit) that controls the abnormality detecting apparatus for an imaging apparatus; two infrared cameras 2R and 2L that are capable of detecting distant infrared radiation; a yaw rate sensor 3 that detects the yaw rate of the vehicle; a vehicle speed sensor 4 that measures the traveling speed of the vehicle; a brake sensor 5 that detects a driver's braking operation; a loudspeaker 6; and a display apparatus 7. For example, the image processing unit 1 detects a moving object such as a pedestrian or an animal in front of the vehicle in its traveling direction from infrared images of the vehicle surroundings that are captured by the two infrared cameras 2R and 2L, and from detection signals relating to the traveling status of the vehicle that are detected by each of the sensors 3, 4, and 5. In the case where the possibility of a collision between the detected moving object and the vehicle is determined, a warning is output via the loudspeaker 6 or the display apparatus 7.

Moreover, the display apparatus 7 is, for example, constructed including a display apparatus integrated with gauges that display various traveling states of the vehicle, a display apparatus such as a navigation device, and furthermore an HUD (Head Up Display) 7 a that displays various information at a position on the front window where the field of front vision of the driver is not impaired.

In addition, the image processing unit 1 includes an A/D converter, that converts input analog signals to digital signals, an image memory that stores digitized image signals (luminance values), a CPU (central processing unit) that performs various arithmetic processing, a RAM (Random Access Memory) that is used for storing data in the middle of the arithmetic processing, a ROM (Read Only Memory) that stores programs that are performed by the CPU and tables, maps and the like, and an output circuit that outputs drive signals for the loudspeaker 6 and display signals for the HUD 7 a. The image processing unit 1 is constructed such that the output signals of the infrared cameras 2R and 2L, and the respective sensors, 3, 4, and 5 are input into the CPU after being converted to digital signals.

Furthermore, as shown in FIG. 2, two infrared cameras 2R and 2L are disposed at the front of the vehicle 10 at positions symmetrical in the width direction relative to the central axis of the vehicle 10. The optical axes of both cameras 2R and 2L are parallel to each other, and both infrared cameras 2R and 2L are secured at the same height from the road surface. A characteristic of the infrared cameras 2R and 2L is that the output signal level (that is, luminance) increases as the temperature of the object increases.

Moreover, the HUD 7 a is provided so as to display the images at a position on the front window of the vehicle 10, where the field of front vision of the driver is not impaired.

The image processing unit 1 is, as for example shown in FIG. 3, equipped with an image memory 11, a determination region setting portion 12, a vehicle behavior estimating portion 13, an excluded region setting portion 14, a luminance variance calculating portion 16 and a camera grime determination portion 17. In particular, the vehicle behavior estimating portion 13 of the image processing unit 1 has a yaw rate sensor 3, a vehicle speed sensor 4, and a brake sensor 5, as well as an acceleration sensor and a windshield wiper switch (windshield wiper SW). The detection signal output from a vehicle status quantity sensor 21 that detects various kinds of vehicle status quantities is input, and an informing apparatus 22 that has a loudspeaker 6 and a display apparatus 7 is connected to the camera grime determination portion 17 of the image processing unit 1.

In this image processing unit 1, the image memory 11 stores infrared images received from the infrared camera 2R (or 2L) as digital data.

The determination region setting portion 12 sets a determination region on the infrared image based on the optical design (for example, camera angle of view) and installation direction of the infrared camera 2R (or 2L) established in advance, and as required, corrects the determination region that is set based on the estimation result of the vehicle behavior estimating portion 13, for example, changes in the optical axis caused by displacement in the installation position of the infrared camera 2R (or 2L).

As shown in FIG. 4, this determination region is a region that contains at least a road R, a boundary portion of the road BR and a background portion B. Here, if the region which contains only the background portion B upward on the infrared image without the road R and the boundary portion of the road BR is set as the determination region, regardless of the presence of grime on the infrared camera 2R (or 2L), in accordance with changes in the travel route (for example, changes between a suburban route with relatively few road structures and trees and the like and an urban route with relatively many road structures and trees and the like), the variance state of the luminance value in the region (for example, luminance variance value) fluctuates, and execution of grime determination that is described later becomes difficult, giving rise to the problem of the detection accuracy of grime determination and the reliability of the detection result dropping.

Also, if a region that includes only the road R in the lower portion of the infrared image without including the background portion B and the boundary portion of the road BR is set as the determination region, changes in the luminance value in the determination region become exceedingly small, and execution of grime determination, which is described later, becomes difficult, giving rise to the problem of the detection accuracy of grime determination and the reliability of the detection result dropping.

Based on the detection signal output from a vehicle status quantity sensor 21, the vehicle behavior estimating portion 13 calculates, as displacement in the installation position and installation direction of the infrared camera 2R (or 2L) set in advance, the pan angle indicating, for example, the displacement in the horizontal direction of the optical axis of the infrared camera 2R (or 2L) with respect to the vehicle traveling direction, or the pitch angle indicating, for example, displacement in the vertical direction of the optical axis of the infrared camera 2R (or 2L) with respect to the vehicle traveling direction that occurs due to pitching of the vehicle.

For example, the vehicle behavior estimating portion 13 calculates an approximated straight line LMV that approximates the relative movement track of a static object detected on an infrared image. With respect to the camera coordinate system (Xc, Yc, Zc) based on the optical axis of the infrared camera 2R (or 2L), the angle formed between a straight line formed by the approximated straight line LMV projected on the flat plane Xc-Zc and the Zc axis serves as the pan angle, and the angle formed between the straight line formed by the approximated straight line LMV projected on the flat plane Yc-Zc and the Zc axis serves as the pitch angle.

In addition, the camera coordinate system (Xc, Yc, Zc) is calculated as shown in the numerical expression (1), with the center position of the mounting position of the infrared cameras 2R and 2L in front of a vehicle 10 serving as the origin O, and the coordinates on the infrared image set so that the center of the infrared image is the origin, the horizontal direction is the x direction, and the vertical direction is the y direction. Furthermore, the coordinates (xc, yc) are the coordinates that have been converted from the coordinates (x, y) in the reference image (for example, the right image) into the coordinates in a virtual image obtained by aligning the origin O of the real space and the center of the image data so that they coincide, based on the relative position relationship between the mounting position of the infrared camera 2R and the origin O of the real space. Also, in the numerical expression (1) below, the distance between the vehicle 10 and the object, that is, the distance z (m), (object distance) from the lenses of the infrared cameras 2R and 2L to the object, is for example calculated based on the base length of the cameras, that is the horizontal distance D (m) between center positions of each imaging device of the infrared cameras 2R and 2L, the focus distance of the camera, that is, the focus distance f (m) of each lens of the infrared cameras 2R and 2L, the pixel pitch p (m/pixel), and parallax Δd (pixel) at pixel level.

$\begin{matrix} \left. \begin{matrix} {\begin{bmatrix} {Xc} \\ {Yc} \\ {Zc} \end{bmatrix} = \begin{bmatrix} {{xc} \times {z/F}} \\ {{yc} \times {z/F}} \\ {z} \end{bmatrix}} \\ {z = \frac{f \times D}{\Delta\; d \times p}} \\ {F = \frac{f}{p}} \end{matrix} \right\} & (1) \end{matrix}$

Within the determination region set by the determination region setting portion 12, the excluded region setting portion 14 excludes from the grime determination target region, which is described later, regions of high luminance in which the luminance value is not less than a specified luminance value set in accordance with the luminance gain or luminance level of the infrared camera 2R (or 2L) set in advance or suitably changed.

For example, as shown in FIG. 5, the excluded region setting portion 14 sets as excluded regions those regions OB1, . . . , OB6 having a luminance value not less than a predetermined luminance within the determination region on the infrared image.

Moreover, in the case of a specified heating element detected by an object determination portion 15 (for example, an exhaust pipe or vending machine and the like) existing within the determination region on the infrared image, the excluded region setting portion 14 sets the region containing this heating element as an excluded region.

For the region other than the excluded regions set by the excluded region setting portion 14 within the determination region set by the determination region setting portion 12, the luminance variance calculating portion 16 first calculates a luminance histogram that is a frequency variance with respect to luminance value, and then calculates the variance (luminance variance) of the luminance histogram.

The camera grime determination portion 17 determines whether or not grime was generated in the infrared camera 2R (or 2L) based on the average value of a plurality of luminance variances (luminance variance average value) calculated by the luminance variance calculating portion 16 over a specified time for example.

For example, the camera grime determination portion 17 determines whether or not the calculated luminance variance average is less than a specified variance threshold (for example, a value which has hysteresis) set in accordance with the luminance gain or luminance level of the infrared camera 2R (or 2L) set in advance or suitably changed. And when this determination result is “YES”, as shown for example in FIG. 6, it is determined that the contrast (light-and-darkness difference) of the infrared image has dropped and the luminance variance value has fallen due to the occurrence of grime in the optical system of the infrared camera 2R (or 2L), and so grime is determined as existing in the infrared camera 2R (or 2L). Meanwhile, when this determination result is “NO”, it is determined that there is no grime in the infrared camera 2R (or 2L).

In addition, when calculating the luminance variance average value, the camera grime determination portion 17, based on the detection signal output from the vehicle status quantity sensor 21, selects a suitable luminance variance from the plurality of luminance variances, being enabled to calculate the luminance variance average value solely from the selected luminance variance.

For example, by selecting the luminance variance calculated in a state in which the traveling behavior of the vehicle is relatively stable, or selecting the luminance variance calculated in a state in which the vehicle speed is not less than a specified speed, the camera grime determination portion 17 can curb decreases in the luminance variance caused by, for example, the distance between the vehicle and a preceding vehicle or a structure becoming relatively short in the state of a relatively low vehicle speed, thereby causing the area of the single preceding vehicle or object to increase excessively on the infrared image.

When it is determined by the camera grime determination portion 17 that grime is present in the infrared camera 2R (or 2L), the informing apparatus 22 outputs an audible warning such as an alarm sound or alarm voice via the loudspeaker 6 or a visual warning such as a display via the display apparatus 7.

In addition, the camera grime determination portion 17 determines whether or not there is the state of determination that grime exists in the infrared camera 2R (or 2L) caused by the weather, such as a rainfall and snowfall, based on the detection signal according to ON/OFF of actuation of the windshield wiper output from the windshield wiper switch (windshield wiper SW) of the vehicle status quantity sensor 21. When this determination result is “YES”, it alters the information content from the informing apparatus 22 or temporarily suspends the process that determines the presence of grime.

The abnormality detecting apparatus for an imaging apparatus according to the present embodiment is provided with the construction described above. Next, the operation of the abnormality detecting apparatus for an imaging apparatus, particularly the process to determine the presence of grime in the infrared camera 2R (or 2L), is described with reference to the drawings.

First of all, in step S01 shown in FIG. 7, an infrared image is obtained from the infrared camera 2R (or 2L).

Next, in step S02, a determination region including at least the road R, the boundary portion of the road BR and the background portion B is set on the obtained infrared images.

Next, in step S03, high luminance regions in which the luminance value is not less than a prescribed luminance value are set as excluded regions within the determination region that is set.

Next, in step S04, it is determined whether a vehicle speed V measured by the vehicle speed sensor 4 is not less than a specified threshold speed Veth.

When this determination result is “NO”, the processing is terminated.

On the other hand, when the determination result is “YES”, the flow proceeds to step S05.

In step S05, it is determined whether or not the absolute value of the yaw rate ω detected by the yaw rate sensor 3 is not higher than a specified threshold value Yawth.

When the determination result of step S05 is “NO”, the processing is terminated.

On the other hand, when the determination result of step S05 is “YES”, the flow proceeds to step S06.

Then, in step S06, it is determined whether or not the state of the brake SW, which depends on a driver's braking operation detected by the brake sensor 5, is OFF.

When this determination result is “NO”, the processing is terminated.

On the other hand, when the determination result is “YES”, the flow proceeds to step S07.

Then, in step S07, it is determined whether or not the windshield wiper SW is OFF.

When this determination result in step S07 is “NO”, the processing is terminated.

On the other hand, when the determination result in step S07 is “YES”, the flow proceeds to step S08.

Then, in step S08, a luminance histogram is calculated for the region other than the excluded regions within the determination region, and the variance of the luminance histogram (luminance variance) is calculated.

Next, in step S09, the average value of a plurality of luminance variances (luminance variance average value) calculated over a specified time is calculated.

Next, in step S10, it is determined whether or not it was determined in the previous process whether there is no grime in the infrared camera 2R (or 2L).

When this determination result is “NO”, the flow proceeds to step S13 that is described later.

On the other hand, when the determination result is “YES”, the flow proceeds to step S11.

In step S11, it is determined whether or not the luminance variance average value is less than a specified lower limit variance threshold value VL set in accordance with the luminance gain or luminance level of the infrared camera 2R (or 2L) set in advance or suitably changed.

When this determination result is “NO”, the processing is terminated.

On the other hand, when the determination result is “YES”, the flow proceeds to step S12.

In step S12, as the grime determination result it is set that there is grime, and the flow proceeds to step S15 that is described later.

Also, in step S13, it is determined whether or not the luminance variance average value is not less than a predetermined upper limit variance threshold value VU set in accordance with the luminance gain or luminance level of the infrared camera 2R (or 2L) set in advance or suitably changed.

When this determination result is “NO”, the processing is terminated.

On the other hand, when the determination result is “YES”, the flow proceeds to step S14.

In step S14, as the grime determination result it is set that there is no grime, and the flow proceeds to step S15.

In step S15, the grime determination result is reported to the driver of the vehicle via the informing apparatus 22, and the processing is terminated.

As described above, the abnormality detecting apparatus for an imaging apparatus according to the present embodiment sets a region on the infrared image that includes at least a road R, a boundary portion of the road BR and a background portion B as the determination region, for which the luminance variance value is calculated. Therefore, the detection accuracy when detecting the presence of grime on the infrared cameras 2R and 2L according to the luminance variance value and the reliability of the detection result can be improved.

Moreover, since regions that may excessively raise the luminance variance value of the region, that is, regions whose luminance value is not less than a specified luminance value, or regions that include objects of a type that may cause excessive fluctuation in the luminance variance value of the region (for example, an exhaust pipe of another vehicle or a vending machine and the like) can be set as excluded regions, detection of the presence of grime on the infrared cameras 2R and 2L according to the luminance variance value can be properly performed.

Also, by determining whether or not the average value of luminance variances values calculated over a plurality of times exceeds a certain threshold (the lower limit variance threshold value VL or the upper limit variance threshold value VU) (that is, whether it is less than the lower limit variance threshold value VL or not less than the upper limit variance threshold value VU), the detection accuracy when detecting the presence of grime on the infrared cameras 2R and 2L and the reliability of the detection result can be improved regardless of the vehicle surroundings environment which changes with travel of the vehicle.

Moreover, by calculating the average value of luminance variance values based only on the luminance variance values calculated in the state of the status quantity of the vehicle being a certain status quantity (for example, the vehicle velocity V being not less than a specified threshold velocity Veth, the yaw rate ω being not higher than a specified threshold value Yawth, and the brake SW being OFF), detection of the presence of grime on the infrared cameras 2R and 2L based on an improper luminance variance value caused by the state of the vehicle can be prevented.

In addition, in the embodiment described above, although the presence of grime on the infrared camera 2R (or 2L) was determined according to whether or not a luminance variance average value is less than a specified variance threshold, it is not limited thereto. For example, it may be determined whether or not the difference between a specified reference luminance variance value (for example, a luminance variance average value) and a luminance variance calculated by the luminance variance calculating portion 16 is less than a specified threshold difference set in accordance with the luminance gain or luminance level of the infrared camera 2R (or 2L) set in advance or suitably changed. When this determination result is “NO”, then it is determined that grime exists on the infrared camera 2R (or 2L), and on the other hand when the determination result is “YES”, it is determined that there is no grime on the infrared camera 2R (or 2L).

In addition, in the embodiment described above, although grime determination was carried out independently for each infrared camera 2R and 2L, it is not limited thereto. For example, grime determination may be performed based on the determination result for the infrared camera 2R (hereafter referred to as the first infrared camera 2R) and the determination result for the infrared camera 2L (hereafter referred to as the second infrared camera 2L).

In this modification, as shown for example in FIG. 8, the image processing unit 1 is equipped with, corresponding to the first and second infrared cameras 2R and 2L, image memories 11R and 11L, determination region setting portions 12R and 12L, a vehicle behavior estimating portion 13, excluded region setting portions 14R and 14L, an object determination portion 15, luminance variance calculating portions 16R and 16L, camera grime determination portions 17R and 17L, a camera grime comparison determination portion 18, and a weather determination portion 19. In particular, the vehicle behavior estimating portion 13 of the image processing unit 1 has a yaw rate sensor 3, a vehicle speed sensor 4, and a brake sensor 5, as well as an acceleration sensor and a windshield wiper switch (windshield wiper SW). The detection signal output from the vehicle status quantity sensor 21 that detects various kinds of vehicle status quantities is input, and an informing apparatus 22 that has a loudspeaker 6 and a display apparatus 7 is connected to the camera grime determination portion 17 of the image processing unit 1.

In this image processing unit 1, each image memory 11R and 11L stores infrared images received from each infrared camera 2R and 2L as digital data.

Each determination region setting portion 12R and 12L sets a determination region on the infrared image based on the optical design (for example, camera angle of view) and installation direction of each infrared camera 2R and 2L established in advance, and as required, corrects the determination region that is set based on the estimation result of the vehicle behavior estimating portion 13, for example, changes in the optical axis caused by displacement in the installation position of the infrared cameras 2R and 2L.

Based on the detection signal output from a vehicle status quantity sensor 21, for each infrared camera 2R and 2L the vehicle behavior estimating portion 13 calculates, as displacement in the installation position and installation direction of the infrared cameras 2R and 2L set in advance, the pan angle that shows, for example, the displacement in the horizontal direction of the optical axis of the infrared cameras 2R and 2L with respect to the vehicle traveling direction, or the pitch angle that shows, for example, displacement in the vertical direction of the optical axis of the infrared cameras 2R and 2L with respect to the vehicle traveling direction that occurs due to pitching of the vehicle.

For example, the vehicle behavior estimating portion 13 calculates an approximated straight line LMV that approximates the relative movement track of a static object detected on an infrared image. With respect to the camera coordinate system (Xc, Yc, Zc) based on the optical axis of each infrared camera 2R and 2L, the angle formed between a straight line formed by the approximated straight line LMV projected on the flat plane Xc-Zc and the Zc axis serves as the pan angle, and the angle formed between the straight line formed by the approximated straight line LMV projected on the flat plane Yc-Zc and the Zc axis serves as the pitch angle.

In addition, the camera coordinate system (Xc, Yc, Zc) is calculated as shown in the numerical expression (1) above, with the center position of the mounting position of the infrared cameras 2R and 2L in front of a vehicle 10 serving as the origin O, and the coordinates on the infrared image set so that the center of the infrared image is the origin, the horizontal direction is the x direction, and the vertical direction is the y direction. Furthermore, the coordinates (xc, yc) are the coordinates that have been converted from the coordinates (x, y) in the reference image (for example, the right image) into the coordinates in a virtual image obtained by aligning the origin O of the real space and the center of the image data so that they coincide, based on the relative position relationship between the mounting position of the infrared camera 2R and the origin O of the real space. Also, in the numerical expression (1) above, the distance between the vehicle 10 and the object, that is, the distance z (m) (object distance) from the lenses of the infrared cameras 2R and 2L to the object, is for example calculated based on the base length of the cameras, that is the horizontal distance D (m) between center positions of each imaging device of the infrared cameras 2R and 2L, the focus distance of the camera, that is, the focus distance f (m) of each lens of the infrared cameras 2R and 2L, the pixel pitch p (m/pixel), and parallax Δd (pixel) at pixel level.

Within each determination region set by the determination region setting portions 12R and 12L, the excluded region setting portions 14R and 14L exclude from the grime determination target region, which is described later, regions of high luminance in which the luminance value is not less than a specified luminance value set in accordance with the luminance gain or luminance level of the infrared cameras 2R and 2L set in advance or suitably changed.

Moreover, in the case of a specified heating element detected by the object determination portion 15 (for example, an exhaust pipe of another vehicle or a vending machine and the like) existing within the determination region on the infrared image, the excluded region setting portions 14R and 14L set the region containing this heating element as an excluded region.

For the region other than the excluded regions set by the excluded region setting portions 14R and 14L within each determination region set by the determination region setting portions 12R and 12L, the luminance variance calculating portions 16R and 16L first calculate a luminance histogram that is a frequency variance with respect to luminance value, and then calculate the variance (luminance variance) of the luminance histogram.

Each camera grime determination portion 17R and 17L determines whether or not grime was generated in the infrared cameras 2R and 2L based on the average value of a plurality of luminance variances (luminance variance average value) calculated by the luminance variance calculating portions 16R and 16L over a specified time for example.

For example, each camera grime determination portion 17R and 17L determines whether or not the calculated luminance variance average is less than a specified variance threshold (for example, a value which has hysteresis) set in accordance with the luminance gain or luminance level of the infrared cameras 2R and 2L set in advance or suitably changed. And when this determination result is “YES”, it is determined that the contrast (light-and-darkness difference) of the infrared image has dropped and, accordingly, the luminance variance value has fallen due to the occurrence of grime in the optical system of the infrared cameras 2R and 2L, and so as the grime determination result of the infrared cameras 2R and 2L it is determined that grime exists. Meanwhile, when this determination result is “NO”, as the grime determination result of the infrared cameras 2R and 2L it is determined that there is no grime.

In addition, when calculating the luminance variance average value, the camera grime determination portions 17R and 17L, based on the detection signal output from the vehicle status quantity sensor 21, selects a suitable luminance variance from the plurality of luminance variances, being enabled to calculate the luminance variance average value solely from the selected luminance variance.

For example, by selecting the luminance variance calculated in a state in which the traveling behavior of the vehicle is relatively stable, or selecting the luminance variance calculated in a state in which the vehicle speed is not less than a specified speed, the camera grime determination portions 17R and 17L can curb decreases in the luminance variance caused by, for example, the distance between the vehicle and a preceding vehicle or a structure becoming relatively short in the state of a relatively low vehicle speed, thereby causing the area of the single preceding vehicle or object to increase excessively on the infrared image.

The camera grime comparison determination portion 18 determines whether or not grime has occurred at the infrared cameras 2R and 2L by comparing the luminance variance average values calculated for each infrared camera 2R and 2L.

For example, the camera grime comparison determination portion 18 determines whether or not the difference between the luminance variance average value of the first infrared camera 2R and the luminance variance average value of the second infrared camera 2L is less than a specified variance threshold (for example, a value which has hysteresis) set in accordance with the luminance gain or luminance level of each infrared camera 2R and 2L set in advance or suitably changed. And when this determination result is “YES”, due to the occurrence of grime in the optical system of the first or second infrared cameras 2R and 2L, it is determined that the contrast (light-and-darkness difference) of one infrared image has relatively dropped compared to the contrast of the other infrared image, and consequently that the difference between the luminance variance average values has increased. Therefore, as the grime comparison determination result, grime is determined to exist on one of the first or second infrared cameras 2R and 2L and not exist on the other.

When it is determined by the camera grime determination portion 17 that grime is present in the infrared cameras 2R and 2L, or when it is determined by the camera grime comparison determination portion 18 that grime is present on either one of the first infrared camera 2R or the second infrared cameras 2L, the informing apparatus 22 outputs an audible warning such as an alarm sound or alarm voice via the loudspeaker 6 or a visual warning such as a display via the display apparatus 7.

In addition, each camera grime determination portion 17R and 17L and the camera grime comparison determination portion 18 determines whether or not there is the state of determination that grime exists in the infrared cameras 2R and 2L in accordance with the determination result of the weather determination portion 19, for example the determination result for the state of the weather such as a rainfall and snowfall based on the detection signal according to ON/OFF of actuation of the windshield wiper output from the windshield wiper switch (windshield wiper SW) of the vehicle status quantity sensor 21. When this determination result is “YES”, it alters the information content from the informing apparatus 22 or temporarily suspends the process that determines the presence of grime.

The abnormality detecting apparatus for an imaging apparatus according to the present modification is provided with the construction described above. Next, the operation of the abnormality detecting apparatus for an imaging apparatus, particularly the process to determine the presence of grime in each infrared camera 2R and 2L, is described with reference to the drawings.

First of all, in step S21 shown in FIG. 9, an infrared image is obtained from each infrared camera 2R and 2L.

Next, in step S22, a determination region including at least the road R, the boundary portion of the road BR and the background portion B is set on each obtained infrared image.

Next, in step S23, high luminance regions in which the luminance value is not less than a prescribed luminance value are set as excluded regions within the determination region.

Next, in step S24, a luminance histogram is calculated for the region other than the excluded regions within each determination region, and the variance of the luminance histogram (luminance variance) is calculated.

Next, in step S25, the average value of a plurality of luminance variances (luminance variance average value) calculated over a specified time is calculated for each infrared camera 2R and 2L.

Next, in step S26, it is determined whether or not it was determined in the previous process that there is no grime, as the grime determination result for the first infrared camera 2R.

When this determination result is “NO”, the flow proceeds to step S29 that is described later.

On the other hand, when the determination result is “YES”, the flow proceeds to step S27.

In step S27, it is determined whether or not the luminance variance average value of the first infrared camera 2R is less than a specified lower limit variance threshold value VL1 set in accordance with the luminance gain or luminance level of the first infrared camera 2R set in advance or suitably changed.

When this determination result is “NO”, the flow proceeds to step S31 that is described later.

On the other hand, when the determination result is “YES”, the flow proceeds to step S28.

In step S28, the setting is made that grime exists as the grime determination result of the first infrared camera 2R, and the flow proceeds to step S31 described later.

In step S29, it is determined whether or not the luminance variance average value of the first infrared camera 2R is not less than a specified upper limit variance threshold value VU1 set in accordance with the luminance gain or luminance level of the first infrared camera 2R set in advance or suitably changed.

When this determination result is “NO”, flow proceeds to step S31 described later.

On the other hand, when the determination result is “YES”, the flow proceeds to step S30.

In step S30, the setting is made that grime does not exist as the grime determination result of the first infrared camera 2R, and the flow proceeds to step S31.

In step S31, it is determined whether or not it was determined that there is no grime in the first infrared camera 2R as the grime comparison determination result in the previous process.

When this determination result is “NO”, flow proceeds to step S35 described later.

On the other hand, when the determination result is “YES”, the flow proceeds to step S32.

In step S32, it is determined whether or not the luminance variance average value of the first infrared camera 2R is less than a specified lower limit variance threshold value VL2 set in accordance with the luminance gain or luminance level of the first infrared camera 2R set in advance or suitably changed.

When this determination result is “NO”, the flow proceeds to step S38 that is described later.

On the other hand, when the determination result is “YES”, the flow proceeds to step S33.

In step S33, it is determined whether or not the value obtained by subtracting the luminance variance average value of the first infrared camera 2R from the luminance variance average value of the second infrared camera 2L is not less than a specified upper limit difference threshold value Vdmax set in accordance with the luminance gain or luminance level of each infrared camera 2R and 2L set in advance or suitably changed.

When this determination result is “NO”, the flow proceeds to step S38 that is described later.

On the other hand, when the determination result is “YES”, the flow proceeds to step S34.

In step S34, the setting is made that grime exists as the grime comparison determination result of the first infrared camera 2R, and the flow proceeds to step S38 that is described later.

In step S35, it is determined whether or not the value obtained by subtracting the luminance variance average value of the first infrared camera 2R from the luminance variance average value of the second infrared camera 2L is less than a specified lower limit difference threshold value Vdmin set in accordance with the luminance gain or luminance level of each infrared camera 2R and 2L set in advance or suitably changed.

When this determination result is “NO”, the flow proceeds to step S37 that is described later.

On the other hand, when the determination result is “YES”, the flow proceeds to step S36.

In step S36, the setting is made that grime does not exist as the grime comparison determination result of the first infrared camera 2R, and the flow proceeds to step S38 that is described later.

In step S37, it is determined whether or not the luminance variance average value of the first infrared camera 2R is not less than a specified upper limit variance threshold value VU2 set in accordance with the luminance gain or luminance level of the first infrared camera 2R set in advance or suitably changed.

When this determination result is “NO”, the flow proceeds to step S38 that is described later.

On the other hand, when the determination result is “YES”, the flow proceeds to the aforementioned step S36.

Next, in step S38, it is determined whether or not it was determined in the previous process that there is no grime, as the grime determination result for the second infrared camera 2L.

When this determination result is “NO”, the flow proceeds to step S41 that is described later.

On the other hand, when the determination result is “YES”, the flow proceeds to step S39.

In step S39, it is determined whether or not the luminance variance average value of the second infrared camera 2L is less than a specified lower limit variance threshold value VL1 set in accordance with the luminance gain or luminance level of the second infrared camera 2L set in advance or suitably changed.

When this determination result is “NO”, the flow proceeds to step S43 that is described later.

On the other hand, when the determination result is “YES”, the flow proceeds to step S40.

In step S40, the setting is made that grime exists as the grime determination result of the second infrared camera 2L, and the flow proceeds to step S43 that is described later.

In step S41, it is determined whether or not the luminance variance average value of the second infrared camera 2L is not less than a specified upper limit variance threshold value VU1 set in accordance with the luminance gain or luminance level of the second infrared camera 2L set in advance or suitably changed.

When this determination result is “NO”, the flow proceeds to step S43 that is described later.

On the other hand, when the determination result is “YES”, the flow proceeds to step S42.

In step S42, the setting is made that grime does not exist as the grime determination result of the second infrared camera 2L, and the flow proceeds to step S43.

In step S43, it is determined whether or not it was determined that there is no grime in the second infrared camera 2L as the grime comparison determination result in the previous process.

When this determination result is “NO”, flow proceeds to step S47 described later.

On the other hand, when the determination result is “YES”, the flow proceeds to step S44.

In step S44, it is determined whether or not the luminance variance average value of the second infrared camera 2L is less than a specified lower limit variance threshold value VL2 set in accordance with the luminance gain or luminance level of the second infrared camera 2L set in advance or suitably changed.

When this determination result is “NO”, the flow proceeds to step S50 that is described later.

On the other hand, when the determination result is “YES”, the flow proceeds to step S45.

In step S45, it is determined whether or not the value obtained by subtracting the luminance variance average value of the second infrared camera 2L from the luminance variance average value of the first infrared camera 2R is not less than a specified upper limit difference threshold value Vdmax set in accordance with the luminance gain or luminance level of each infrared camera 2R and 2L set in advance or suitably changed.

When this determination result is “NO”, the flow proceeds to step S50 that is described later.

On the other hand, when the determination result is “YES”, the flow proceeds to step S46.

In step S46, the setting is made that grime exists as the grime comparison determination result of the second infrared camera 2L, and the flow proceeds to step S50 that is described later.

In step S47, it is determined whether or not the value obtained by subtracting the luminance variance average value of the second infrared camera 2L from the luminance variance average value of the first infrared camera 2R is less than a specified lower limit difference threshold value Vdmin set in accordance with the luminance gain or luminance level of each infrared camera 2R and 2L set in advance or suitably changed.

When this determination result is “NO”, the flow proceeds to step S49 that is described later.

On the other hand, when the determination result is “YES”, the flow proceeds to step S48.

In step S48, the setting is made that grime does not exist as the grime comparison determination result of the second infrared camera 2L, and the flow proceeds to step S50 that is described later.

In step S49, it is determined whether or not the luminance variance average value of the second infrared camera 2L is not less than a specified upper limit variance threshold value VU2 set in accordance with the luminance gain or luminance level of the second infrared camera 2L set in advance or suitably changed.

When this determination result is “NO”, the flow proceeds to step S50 that is described later.

On the other hand, when the determination result is “YES”, the flow proceeds to the aforementioned step S48.

In step S50, it is determined whether or not it was determined that grime exists by at least any determination result among the grime determination result of the first infrared camera 2R, the grime comparison determination result of the first infrared camera 2R, the grime determination result of the second infrared camera 2L, and the grime comparison determination result of the second infrared camera 2L.

When the determination result is “YES”, the flow proceeds to step S51. In this step S51, the setting is made for the grime determination result that grime exists, that is, there is grime for at least one of the infrared cameras 2R and 2L, and the flow proceeds to step S54 described later.

On the other hand, when the determination result is “NO”, the flow proceeds to step S52.

In step S52, it is determined whether or not it was determined that there is no grime according to all the determination results of the grime determination result of the first infrared camera 2R, the grime comparison determination result of the first infrared camera 2R, the grime determination result of the second infrared camera 2L, and the grime comparison determination result of the second infrared camera 2L.

When the determination result is “YES”, the flow proceeds to step S53. In this step S53, the setting is made for the grime determination result that there is no grime, that is, there is no grime in both of the infrared cameras 2R and 2L, and the flow proceeds to step S54 described later.

On the other hand, when this determination result is “NO”, the processing is terminated.

In step S54, the grime determination result is reported to the driver of the vehicle via the informing apparatus 22, and the processing is terminated.

As stated above, the aforementioned abnormality detecting apparatus for an imaging apparatus of this modification can relatively detect the presence of abnormalities in each infrared camera 2R and 2L regardless of the setting state of each infrared camera 2R and 2L. Moreover, since the presence of abnormalities is detected in the imaging apparatus in accordance with the difference between luminance variance average values of images, in addition to the luminance variance average values of images, for example, even in the case that the difference between the luminance variance average values of images is not above a specified value, and the corresponding infrared cameras 2R and 2L are determined to be normal, in the case that the luminance variance average values of the images are less than a specified value, it can determine that the corresponding infrared cameras 2R and 2L are in an abnormal state.

While preferred embodiments of the invention have been described and illustrated above, it should be understood that these are exemplary of the invention and are not to be considered as limiting. Additions, omissions, substitutions, and other modifications can be made without departing from the spirit or scope of the present invention. Accordingly, the invention is not to be considered as being limited by the foregoing description, and is only limited by the scope of the appended claims. 

1. An abnormality detecting apparatus for an imaging apparatus that detects a presence of abnormalities in an imaging apparatus mounted on a vehicle to capture vehicle surroundings, comprising: a region setting device that sets a region including at least a road boundary portion in an image obtained by the imaging apparatus; a luminance variance value calculating device that calculates a luminance variance value using the luminance value acquired from the image with respect to the region set by the region setting device; and an abnormality detecting device that detects the presence of abnormalities in the imaging apparatus according to the luminance variance value calculated by the luminance variance value calculating device; a region excluding device that sets an excluded region outside the scope of execution of the process to calculate the luminance variance value by the luminance variance value calculating device in the region set by the region setting device, wherein the luminance variance value calculating device calculates the luminance variance value for the region other than the excluded region set by the region excluding device among the region set by the region setting device.
 2. The abnormality detecting apparatus for an imaging apparatus according to claim 1, wherein the region excluding device sets as the excluded region a region in which the luminance value calculated by the luminance value calculating device is not less than a specified luminance value.
 3. The abnormality detecting apparatus for an imaging apparatus according to claims 1, further comprising: an object extraction device that extracts an object from the image; and an object type determining device that determines a type of the object extracted by the object extraction device, wherein the region excluding device sets the excluded region based on a determination result of the object type determining device.
 4. The abnormality detecting apparatus for an imaging apparatus according to claim 3, wherein the region excluding device sets as the excluded region a region on the image where an object determined to be a type of object with a relatively high luminance exists in the determination result of the object type determining device.
 5. The abnormality detecting apparatus for an imaging apparatus according to claim 1, further comprising: a luminance variance average value calculating device that calculates an average value of a plurality of the luminance variance values calculated over a plurality of times by the luminance variance value calculating device, wherein the abnormality detecting apparatus detects the presence of abnormalities in the imaging apparatus in accordance with whether or not the average value calculated by the luminance variance average value calculating device exceeds a predetermined threshold value.
 6. The abnormality detecting apparatus for an imaging apparatus according to claim 5, further comprising: a vehicle status quantity detection device that detects a status quantity of the vehicle on which the imaging apparatus is mounted, wherein the luminance variance average value calculating device sets the average value based only on the luminance variance value calculated by the luminance variance value calculating device in the state of the status quantity of the vehicle detected by the vehicle status quantity detection device being a prescribed status quantity. 